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Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach

机译：实现中国节能减排目标：产业结构多目标优化方法

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摘要

The issue of achieving the twin goals of energy saving and pollution reduction by 2020 is important for transforming China's approach to economic growth. From the perspective of source control, this study investigates the impact of industrial structure adjustment on China's energy saving and pollution reduction goals by developing a new energy-environmental-economy model, integrating a dynamic input-output model and multi-objective model. The three best solutions are screened from the Pareto-optimal front conforming to decision-makers' preferences. The results show that for China to successively achieve its set goals, it needs to modify and optimize the country's industrial structure. By optimizing its industrial structure, China's energy intensity of the three preferred solutions can be reduced by 17.7%, 17.0%, and 17.5% compared with 2015 levels, which helps to attain the target energy-saving goal. Emissions of COD, SO2, and NOx are significantly reduced; however, the reduction goal of NH3-N is barely realized. In the restructuring process, GDP can be maintained at 6.6-6.8% from 2013 to 2020. These findings could alleviate local governments' concerns that implementation of stringent energy-saving and pollution-reduction mechanisms would harm their local economies.
机译：在2020年之前实现节能减排的双重目标的问题对于转变中国的经济增长方式至关重要。从源头控制的角度，本研究通过开发新的能源-环境-经济模型，将动态投入产出模型和多目标模型相结合，研究了产业结构调整对中国节能减排目标的影响。从帕累托最优前沿筛选出三个最佳解决方案，以符合决策者的偏好。结果表明，要使中国成功实现既定目标，就需要修改和优化其产业结构。通过优化产业结构，中国的三种首选解决方案的能源强度可以比2015年分别降低17.7％，17.0％和17.5％，这有助于实现节能目标。 COD，SO2和NOx的排放量大大减少；但是，几乎没有实现NH3-N的还原目标。在重组过程中，从2013年到2020年，GDP可以保持在6.6-6.8％的水平。这些发现可以缓解地方政府的担忧，即实施严格的节能减排机制会损害当地经济。

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